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Description

This dataset provides Global Ecosystem Dynamics Investigation (GEDI) Level 3 (L3) gridded mean canopy height, standard deviation of canopy height, mean ground elevation, standard deviation of ground elevation and counts of laser footprints per 1 km x 1 km grid cells globally within -52 and 52 degrees latitude. L3 gridded products can be used to characterize important carbon and water cycling processes, biodiversity, habitat and can also be of immense value for climate modeling, forest management, snow and glacier monitoring, and the generation of digital elevation models. This first release of L3 products are simple averages and standard deviations of the footprint profile metrics within each 1 sq. km cell. Future versions will optimally interpolate data to produce the best estimate of the mean and its error for each grid cell.

Product Summary

Platforms
MODELS ,
ISS
Instruments
Computer ,
GEDI
Projects
GEDI
Spatial Extent

N: 52 S: -52 E: 180 W: -180

Location
GLOBAL LAND
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2019-04-18 to 2020-04-15
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C3411226030-ORNL_CLOUD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
3
Published
Updated
Science Keywords
LIDAR WAVEFORM ,
Canopy Characteristics ,
Terrain Elevation

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Dubayah, R. O., Luthcke, S. B., Sabaka, T. J., Nicholas, J. B., Preaux, S., & Hofton, M. A. (2021). GEDI L3 Gridded Land Surface Metrics, Version 1 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1865 Date Accessed: 2026-10-07

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
Taking the (Laser) Pulse of Woodpecker Ecology using Lidar Technologies: Current Applications and Future Opportunities
  • Vierling, Kerri T., Vierling, Lee A.
Heterogeneous climatic controls on tropical-forest biomass
  • Nunes, Matheus Henrique, Muller-Landau, Helene C., Gorgens, Eric Bastos, Pascual, Adrian, Dubayah, Ralph
Soundscape mapping: understanding regional spatial and temporal patterns of soundscapes incorporating remotely-sensed predictors and wildfire disturbance
  • Quinn, Colin A, Burns, Patrick, Jantz, Patrick, Salas, Leonardo, Goetz, Scott J, Clark, Matthew L
Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar
  • Tolan, Jamie, Yang, Hung-I, Nosarzewski, Benjamin, Couairon, Guillaume, Vo, Huy V., Brandt, John, Spore, Justine, Majumdar, Sayantan, Haziza, Daniel, Vamaraju, Janaki, Moutakanni, Theo, Bojanowski, Piotr, Johns, Tracy, White, Brian, Tiecke, Tobias, Couprie, Camille
A high-resolution canopy height model of the Earth
  • Lang, Nico, Jetz, Walter, Schindler, Konrad, Wegner, Jan Dirk
Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery
  • Silveira, Eduarda M.O., Radeloff, Volker C., Martinuzzi, Sebastian, Martinez Pastur, Guillermo J., Bono, Julieta, Politi, Natalia, Lizarraga, Leonidas, Rivera, Luis O., Ciuffoli, Lucia, Rosas, Yamina M., Olah, Ashley M., Gavier-Pizarro, Gregorio I., Pidgeon, Anna M.
A remote sensingbased threesource energy balance model to improve global estimations of evapotranspiration in semiarid treegrass ecosystems
  • BurchardLevine, Vicente, Nieto, Hector, Riano, David, Kustas, Wiliam P., Migliavacca, Mirco, ElMadany, Tarek S., Nelson, Jacob A., Andreu, Ana, Carrara, Arnaud, Beringer, Jason, Baldocchi, Dennis, Martin, M. Pilar
Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data
  • Ghosh, Sujit M., Behera, Mukunda D., Kumar, Subham, Das, Pulakesh, Prakash, Ambadipudi J., Bhaskaran, Prasad K., Roy, Parth S., Barik, Saroj K., Jeganathan, Chockalingam, Srivastava, Prashant K., Behera, Soumit K.
Estimating Forest Stand Height in Savannakhet, Lao PDR Using InSAR and
  • Parache, Helen Blue, Mayer, Timothy, Herndon, Kelsey E., Flores-Anderson, Africa Ixmucane, Lei, Yang, Nguyen, Quyen, Kunlamai, Thannarot, Griffin, Robert
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